Optimal Operation of Micro-grids Considering the Uncertainties of Demand and Renewable Energy Resources Generation

DOI: https://doi.org/10.14710/ijred.5.3.233-248

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Article Info
Published: 04-11-2016
Section: Original Research Article
In Vol 5, No 3 (2016): October 2016
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Nowadays, due to technical and economic reasons, the distributed generation (DG) units are widely connected to the low and medium voltage network and created a new structure called micro-grid. Renewable energies (especially wind and solar) based DGs are one of the most important generations units among DG units. Because of stochastic behavior of these resources, the optimum and safe management and operation of micro-grids has become one of the research priorities for researchers. So, in this study, the optimal operation of a typical micro-grid is investigated in order to maximize the penetration of renewable energy sources with the lowest operation cost with respect to the limitations for the load supply and the distributed generation resources. The understudy micro-grid consists of diesel generator, battery, wind turbines and photovoltaic panels. The objective function comprises of fuel cost, start-up cost, spinning reserve cost, power purchasing cost from the upstream grid and the sales revenue of the power to the upstream grid. In this paper, the uncertainties of demand, wind speed and solar radiation are considered and the optimization will be made by using the GAMS software and mixed integer planning method (MIP).

Article History: Received May 21, 2016; Received in revised form July 11, 2016; Accepted October 15, 2016; Available online

How to Cite This Article: Jasemi, M.,  Adabi, F., Mozafari, B., and Salahi, S. (2016) Optimal Operation of Micro-grids Considering the Uncertainties of Demand and Renewable Energy Resources Generation, Int. Journal of Renewable Energy Development, 5(3),233-248.

http://dx.doi.org/10.14710/ijred.5.3.233-248

Keywords

Micro-grid, Optimal operation, Renewable energy resources, Uncertainty, DG

  1. Malek Jasemi 
    , Iran, Islamic Republic of
  2. Farid Adabi 
    , Iran, Islamic Republic of
  3. Babak Mozafari 
    , Iran, Islamic Republic of
  4. Samira Salahi 
    , Iran, Islamic Republic of
  1. Abedi S., Alimardani A., Gharehpetian G.B., Riahy G.H., Hosseinian S.H. (2012) A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems. Renewable and Sustainable Energy Reviews, 16, 1577– 1587.
  2. Alabedin A. Z. (2012) Generation Scheduling in Microgrids under Uncertainties in Power Generation, MAS Dissertation, University of Waterloo.
  3. Alharbi, W., Raahemifar, K., (2015) Probabilistic coordination of microgrid energy resources operation considering uncertainties. Electric Power Systems Research, 128, 1–10.
  4. Allali K., Azzag E., Labar H. (2015) Techno-economic Analysis of a Wind-Diesel Hybrid Power System in the South Algeria. International Journal of Renewable Energy Development, 4(2),137-142.
  5. Bahramara S., Parsa Moghaddam M., Haghifam M.R. (2015) Modelling hierarchical decision making framework for operation of active distribution grids. IET Generation, Transmission & Distribution, 9(16), 2555-2564.
  6. Baziar A.A, Kavousi-Fard A. (2013) Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices. Renewable Energy, 59,158-166.
  7. Chen C., Duan S., Cai T., Liu B., Hu G. (2011) Smart energy management system for optimal microgrid economic operation. IET Renewable Power Generation, 5 (3), 258-267.
  8. Chen Y. H., Lu S. Y., Chang Y. R., Lee T. T., Hu M. C., (2012) Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan. Applied Energy.
  9. Dagdougui H., Minciardi R., Ouammi A., Robba M., Sacile R. (2012) Modeling and optimization of a hybrid system for the energy supply of a ‘‘Green’’ building. Energy Conversion and Management, 64, 351–363.
  10. Dai, R., Mesbahi, M., (2013) Optimal power generation and load management for off-grid hybrid power systems with renewable sources via mixed-integer programming. Energy Conversion and Management, 73, 234–244.
  11. Elsied, M., Oukaour, A., Gualous, H., Lo Brutto, O. A., (2016) Optimal economic and environment operation of micro-grid power systems. Energy Conversion and Management, 122, 182–194.
  12. Hatziargyriou N., Asano H., Iravani R., Marnay C. (2007) Microgrids. IEEE Power and Energy Magazine, 5 (4), 78-94.
  13. Kanchev H., Lu D., Colas F., Lazarov V., Francois B. (2011) Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications. IEEE Transactions on Industrial Electronics, 58 (10):4583-4592.
  14. Lagorse J., Paire D., Miraoui A. (2010). A multi-agent system for energy management of distributed power sources. Renewable Energy, 35, 174–182,
  15. Logenthiran T., Srinivasan D. (2009) Short term generation scheduling of a Microgrid. TENCON 2009 - 2009 IEEE Region 10 Conference, pp.1-6.
  16. Mohamed A., Mohammed O. (2013) Real-time energy management scheme for hybrid renewable energy systems in smart grid applications. Electric Power Systems Research, 96, 133– 143.
  17. Motevasel M., Seifi A., Niknam T. (2012) Multi-objective energy management of CHP (combined heat and power) -based micro-grid. Energy, 1-14.
  18. Niknam T., Golestaneh F., Malekpour A. (2012) Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm. Energy, 43, 427-437.
  19. Niknam, T., Azizipanah-Abarghooee, R., Narimani, M. R., (2012) An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation. Applied Energy, 99, 455–470.
  20. Peik-Herfeh M., Seifi H., Sheikh-El-Eslami M.K. (2013) Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method. Electrical Power and Energy Systems, 44, 88-98.
  21. Salahi, S., and Bahramara, S. (2016) Modeling Operation Problem of Micro-grids Considering Economical, Technical and Environmental issues as Mixed-Integer Non-Linear Programming. International Journal of Renewable Energy Development, 5 (2),139-149.